Multi-band satellite TV adjustment method and antenna based on phased array technology

Abstract

The present invention discloses a multi-band satellite TV adjustment method and antenna based on phased array technology, which relates to the field of communication technology. The method includes: real-time monitoring the status information of satellites, combining with the preset in-orbit information of satellites, and predicting the signal path characteristics of multi-band satellites; based on the signal path characteristics, optimizing the scanning scheme of satellites, positioning the scanning area and scanning parameters of the phased array antenna, and establishing an electronic scanning path for the scanning area; tracking the signal quality information of task scheduling, and adaptively adjusting the execution ratio of the scanning and tracking tasks of the phased array antenna according to the signal quality information; controlling the scanning of the electronic beam according to the scanning area, scanning parameters, electronic scanning path, and task execution ratio, so as to solve the technical problems of unstable connection quality, high power consumption, and large delay caused by signal path changes, interference, and frequent connection switching, and achieve the technical effects of efficient connection switching and link aggregation, reducing power consumption and delay, and improving connection quality.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and particularly to a multi-band satellite TV adjustment method and an antenna based on phased array technology. Background Art

[0002] With the rapid development of satellite communication technologies, multi-band satellite TV services have become an important part of the modern communication field. Traditional satellite TV receiving systems usually adopt mechanical parabolic antennas, and receive signals from different satellites by physically adjusting the pointing of the antennas. However, such mechanical antennas have many limitations. For example, the adjustment speed is slow, the accuracy is low, they are vulnerable to environmental influences (such as wind, rain, etc.), and it is difficult to receive signals from multiple satellites simultaneously. In addition, with the increase in the number of satellites and the diversification of frequency bands, the traditional antennas have low efficiency in multi-band signal reception and switching, and it is difficult to meet the users' demands for high-quality and low-latency TV services.

[0003] As an advanced electronic scanning technology, phased array technology can achieve fast and precise pointing adjustment of electronic beams without mechanical movement by controlling the phase and amplitude of each antenna element in the array. This technology has the characteristics of high flexibility, high reliability, and low latency, and is particularly suitable for the reception and switching of multi-band satellite signals. However, existing phased array antennas still face some challenges in multi-band satellite TV applications. For example, during the on-orbit operation of satellites, the signal path will change dynamically due to factors such as satellite position, earth rotation, and atmospheric interference, resulting in signal quality fluctuations; there is interference between different frequency band signals, affecting the reception effect. These challenges will lead to high power consumption and large latency during high-frequency band switching and multi-link aggregation, making it difficult to meet the real-time requirements. Summary of the Invention

[0004] This application provides a multi-band satellite TV adjustment method and an antenna based on phased array technology, and solves the technical problems of unstable connection quality, high power consumption, and large latency caused by signal path changes, interference, and frequent connection switching during the reception of multi-band satellite TV signals.

[0005] This application provides a multi-band satellite TV adjustment method based on phased array technology. The method includes: real-time monitoring the status information of satellites, combining with preset satellite on-orbit information, and predicting the signal path characteristics of multi-band satellites; based on the signal path characteristics of the multi-band satellites, optimizing the scanning schemes of satellites in each frequency band, positioning the scanning area and scanning parameters of the phased array antenna, and establishing an electronic scanning path for the scanning area; tracking the signal quality information of task scheduling, and adaptively adjusting the execution ratio of the scanning and tracking tasks of the phased array antenna according to the signal quality information; controlling the scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the execution ratio of the scanning and tracking tasks.

[0006] The present application also provides a multi-band satellite TV adjustment antenna based on phased array technology. The antenna includes: a signal path feature prediction component: which monitors the status information of the satellite in real time, and combines the preset satellite in-orbit information to predict the signal path features of the multi-band satellite; an electronic scanning path establishment component: which optimizes the scanning schemes of satellites in each band based on the signal path features of the multi-band satellite, locates the scanning area and scanning parameters of the phased array antenna, and establishes an electronic scanning path for the scanning area; a task adjustment component: which tracks the signal quality information of the task scheduling, and adaptively adjusts the execution ratio of the scanning and tracking tasks of the phased array antenna according to the signal quality information; a control scanning component: which controls the scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the execution ratio of the scanning and tracking tasks.

[0007] It is intended to solve the technical problems of unstable connection quality, high power consumption, and large delay caused by signal path changes, interference, and frequent connection switching during the reception of multi-band satellite TV signals through the multi-band satellite TV adjustment method and antenna based on phased array technology proposed in the present application. Firstly, the status information of the satellite is monitored in real time, and the preset satellite in-orbit information is combined to predict the signal path features of the multi-band satellite; subsequently, based on the signal path features of the multi-band satellite, the scanning schemes of satellites in each band are optimized, the scanning area and scanning parameters of the phased array antenna are located, and an electronic scanning path for the scanning area is established; further, the signal quality information of the task scheduling is tracked, and the execution ratio of the scanning and tracking tasks of the phased array antenna is adaptively adjusted according to the signal quality information; finally, the electronic beam is controlled to scan according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the execution ratio of the scanning and tracking tasks. The technical effect of achieving efficient connection switching and link aggregation, reducing power consumption and delay, and improving connection quality is achieved by dynamically optimizing the scanning parameters and paths of the phased array antenna and adaptively adjusting the ratio of scanning and tracking tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in the present application to illustrate the operations performed by the antenna according to the embodiments of the present application. It should be understood that the operations above or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0009] Figure 1 It is a schematic flowchart of the multi-band satellite TV adjustment method based on phased array technology provided by the embodiment of the present application.

[0010] Figure 2 Schematic diagram of a multi - band satellite TV adjustment antenna based on phased array technology provided by an embodiment of the present application.

[0011] Explanation of reference numerals: Signal path feature prediction component 11, electronic scanning path establishment component 12, task adjustment component 13, control scanning component 14. Detailed implementation manners

[0012] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0013] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0014] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first\second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non - exclusive inclusion. For example, a process, method, antenna, product or server including a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0015] An embodiment of the present application provides a multi - band satellite TV adjustment method based on phased array technology, as Figure 1 shown, the method includes:

[0016] Monitor the status information of the satellite in real - time, and combine the preset satellite in - orbit information to predict the signal path features of the multi - band satellite.

[0017] In the embodiments of the present application, first, by establishing connections with satellite tracking systems, ground receivers or communication receivers, radio spectrum monitoring devices, etc., the real-time status of multi-band satellites is continuously tracked, and key data such as the position and signal strength of the satellites are collected. At the same time, using the pre-stored on-orbit data of the satellites, such as the orbital altitude and inclination of the satellites, combined with the positional relationship of the target TV receiving end, a mathematical model is used to predict the position changes and signal transmission paths of the satellites in the next period of time, and the signal path characteristics of the multi-band satellites are obtained, such as signal attenuation, delay, etc., so as to identify possible signal interruption, interference or attenuation areas in advance. These prediction information can help to perform more accurate scheduling and optimization in multi-band satellite communication, improve the stability and quality of signal reception, and effectively cope with the challenges brought by satellite position changes and external environmental interference.

[0018] Furthermore, the present application provides real-time monitoring of the status information of satellites, combined with the pre-set on-orbit information of satellites, to predict the signal path characteristics of multi-band satellites, including:

[0019] Real-time collection of the status information of satellites, including satellite position, signal strength, frequency band occupancy rate, Doppler frequency shift data; obtaining the pre-set on-orbit information of satellites according to the pre-set satellite orbit database; predicting the change amount of the status information of the satellites according to the positional relationship of the target TV combined with the pre-set on-orbit information of the satellites, and obtaining the signal path characteristics.

[0020] Preferably, the satellite status information collected in real time includes satellite position, signal strength, frequency band occupancy rate, Doppler shift data, etc. Among them, the satellite position is obtained through a satellite tracking system and is the precise position of the satellite at a specific moment; the signal strength is measured in real time by a ground receiver or a communication receiver and is used to evaluate signal attenuation and communication quality; the frequency band occupancy rate is obtained by monitoring the used frequency band with a radio spectrum monitoring device and is used to determine whether the frequency band is interfered by other satellites or communication systems; the Doppler shift data is obtained by monitoring with a spectrum analysis device and helps to adjust the receiving frequency to compensate for the frequency change caused by satellite movement. Subsequently, the pre-configured satellite orbit database is read. This satellite orbit database contains the orbit parameters of the target satellite, such as orbit type (geosynchronous orbit, low Earth orbit, etc.), orbit altitude, inclination, operating period, right ascension of the ascending node, etc. According to the identifier of the target satellite (such as satellite number or name), the orbit parameters of the preset satellite are extracted from the satellite orbit database as the on-orbit information of the preset satellite. Then, based on the obtained on-orbit information of the preset satellite, the position and status information of the satellite at a future time are predicted, such as possible signal attenuation, path occlusion, etc. Then, the predicted results are combined with the position relationship of the target TV to predict the transmission change amount of the satellite's status information, and the predicted change amount is used as the signal path characteristics, such as signal attenuation characteristics, transmission delay, etc. These characteristics will be used as the basis for subsequent optimization of the phased array antenna scanning parameters and paths, so as to ensure the stability and efficiency of satellite communication.

[0021] Furthermore, the present application provides a method for predicting the change amount of the satellite's status information according to the position relationship of the target TV in combination with the on-orbit information of the preset satellite to obtain the signal path characteristics, including:

[0022] According to the on-orbit information of the preset satellite, determine the satellite orbit parameters and position information, predict the position and status information of the satellite at a future time, and obtain the satellite prediction information; according to the position relationship between the satellite prediction information and the target TV, identify the signal scanning path; according to the transmission characteristics of the signal scanning path, predict the transmission change amount of the satellite's status information and obtain the signal path characteristics.

[0023] Optionally, by querying a pre-set satellite orbit database, obtain the orbit parameters of the satellite (such as orbit altitude, orbit inclination, orbit period, etc.). These parameters define the motion trajectory of the satellite and its specific position in the orbit. This satellite orbit database is updated in real time and continuously synchronizes the on-orbit information of the pre-set satellites. Subsequently, using an orbit mechanics model (such as Kepler's orbit equation) and the pre-set orbit parameters, calculate the predicted position of the satellite over a period of time in the future. For example, for a geostationary satellite, its position is relatively fixed and the prediction result is relatively simple. For a low Earth orbit satellite, due to its high operating speed and short orbit period, the predicted position needs to be updated in real time. For the orbit mechanics model, it is constructed based on Kepler's three laws, and its processing process includes calculating the mean anomaly, calculating the eccentric anomaly, calculating the true anomaly, calculating the position of the satellite in the orbital plane, and transforming to the geocentric inertial coordinate system. In addition, combining the current state information of the pre-set satellite, such as signal strength, frequency band occupancy, etc., use a pre-constructed dynamic state prediction model to predict the state information of the pre-set satellite, and then combine the predicted state information and position information and store them in a set to form satellite prediction information. For the dynamic state prediction model, it can be constructed based on a long short-term memory network (LSTM). When constructing, collect the historical state information of satellites of the same type in similar orbits through networking, and use a part of this historical state information as training data and input it into the dynamic state prediction model including an input layer, an LSTM layer, a fully connected layer, and an output layer. By repeating steps such as forward propagation, loss calculation (mean squared error loss function), backward propagation, and parameter optimization (Adam optimizer), gradually optimize the model performance until the maximum number of iterations is reached or the model converges. After training, use the data not used for training as a validation set to test the performance of the model and evaluate the accuracy and robustness of the model in the dynamic state prediction task. If the model accuracy meets the expected goal, output the current dynamic state prediction model; otherwise, adjust hyperparameters such as the learning rate and the number of training batches and continue training to improve the performance of the model. Then, obtain the position of the target TV. The position of this target TV can be static, for example, fixed at a certain location, or dynamic, for example, installed on a motorhome or other mobile carrier. The dynamic position needs to consider the change of satellite signals during the movement. When the position of the target TV is static, at fixed intervals, collect the real-time position information (such as longitude, latitude, altitude) of the target TV through GPS or other positioning systems, and calculate the geometric relationship between the satellite and the target TV in combination with the satellite prediction information, including distance, elevation angle, and azimuth angle; when the position of the target TV is dynamic, collect the coordinate information of the target TV in real time through GPS or other positioning systems. By tracking the position change of the target TV in real time and combining the predicted position of the satellite, the relative position change between the TV receiver and the satellite can be determined. By summarizing these position change situations, the scanning path of the signal can be drawn.Then, activate the transmission feature prediction model, which is obtained by training a multi-layer perceptron based on the transmission features (such as signal strength and signal delay) of multiple historical signal scanning paths, multiple historical satellite status information, and multiple historical signal transmission features (such as signal strength change, signal delay change, and frequency band occupancy rate change). The training process is the same as the aforementioned one, and all are carried out through steps such as forward propagation, loss calculation, backward propagation, and parameter optimization. Finally, input the transmission features of the identified signal scanning path and the status information of the satellite into the activated transmission feature prediction model. The transmission feature prediction model predicts the transmission change amount of the corresponding satellite status information according to the learned mapping relationship, which includes changes in signal strength, signal delay, frequency band occupancy rate change, adjustment of Doppler frequency shift, etc. Through these predictions, possible signal quality problems can be foreseen, and measures can be taken in a timely manner for compensation and optimization. Generally speaking, this process involves the dynamic interaction between the satellite and the target TV. Through real-time monitoring and prediction, the changes in the signal path can be accurately calculated, and corresponding optimization measures can be taken to ensure the stable transmission of satellite TV signals.

[0024] Exemplarily, during the driving of the RV, the status information of the target satellites (AsiaSat 9 and Zhongxing 6B) is collected every 100 milliseconds through real-time monitoring, including signal strength (SNR), frequency band occupancy rate, and Doppler shift data. For example, the current monitoring data shows that the signal strength of the Ku band of AsiaSat 9 has dropped suddenly by 15 dB, while the signal strength of the C band of Zhongxing 6B remains stable. At the same time, the real-time position (longitude, latitude, altitude) and movement trajectory of the RV are obtained through the GPS positioning module, providing basic data for subsequent prediction. Subsequently, the orbital parameters of AsiaSat 9 and Zhongxing 6B are extracted from the pre-set satellite orbit database. Both AsiaSat 9 and Zhongxing 6B are located in the geostationary orbit, with an orbital altitude of 35,786 km, an inclination of 0°, and an orbital period of 24 hours. Based on these orbital parameters, an orbital mechanics model is constructed, and the Kepler orbit equation is used to calculate the predicted positions of the satellites within a certain period in the future. In this process, according to the orbital period of the satellite and the current time, the change in the mean anomaly within the next 10 seconds is calculated, and then the Newton iteration method is used to solve the Kepler equation to obtain the eccentric anomaly. Then, the true anomaly is calculated based on the eccentric anomaly, and the distance from the satellite to the center of the earth is calculated through the polar coordinate formula. Then, the position of the satellite in the orbital plane is converted to the Earth-Centered Inertial coordinate system (ECI coordinate system) to obtain the three-dimensional coordinates of the satellite. Based on the calculation results of the orbital mechanics model, the position changes of AsiaSat 9 and Zhongxing 6B within the next 10 seconds are predicted. For example, the longitude of AsiaSat 9 will change from 100.5°E to 100.52°E, while the latitude and altitude remain unchanged; the position change of Zhongxing 6B is relatively small. Combining with the dynamic position relationship of the RV, the signal path characteristics are further analyzed. For example, the RV is currently located in a mountainous area, with GPS coordinates of (30.5°N, 105.2°E) and an altitude of 800 meters. According to the predicted position of AsiaSat 9 and the position of the RV, it is judged that the signal path of AsiaSat 9 will be blocked by the mountain within the next 10 seconds, resulting in signal loss; while the signal path of Zhongxing 6B is not blocked, and the signal transmission remains stable. Finally, the prediction results are integrated into the signal path characteristics, including that the signal strength of AsiaSat 9 will drop to an unavailable level, the delay will increase, and the Doppler shift will be significant; the signal strength of Zhongxing 6B is stable, and the changes in delay and Doppler shift are relatively small. These prediction results provide an important basis for subsequent satellite handover and parameter optimization, ensuring that the RV can achieve efficient multi-band satellite signal reception and handover during driving in the mountainous area.

[0025] Based on the signal path characteristics of the multi-band satellites, optimize the scanning schemes of each band satellite, locate the scanning area and scanning parameters of the phased array antenna, and establish the electronic scanning path of the scanning area.

[0026] In one embodiment, after obtaining the signal path characteristics of the multi-band satellite, abnormal scanning characteristics are identified based on the signal path characteristics of the multi-band satellite. These abnormal characteristics may include a sudden attenuation of the signal intensity, a significant increase in the transmission delay, etc. For example, when it is detected that the signal of a certain frequency band drops sharply due to mountain blockage, it will be marked as an abnormal scanning characteristic. Subsequently, with the goal of maximizing the differential compensation amount of the abnormal scanning characteristics, combined with the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite, a search and optimization of the scanning scheme are carried out. Among them, the phased array antenna is an antenna system that realizes beam control by controlling the phase difference of multiple antenna elements. Its basic structure usually consists of multiple antenna elements (also called sub-arrays), and these elements are arranged in a plane or three-dimensional structure according to a certain rule. Each antenna element can independently transmit or receive electromagnetic wave signals. The key of the phased array antenna is to precisely adjust the radiation direction of each antenna element by electronically controlling the phase of the signal, so as to realize the adjustment of the beam direction without physically rotating the antenna. These antenna elements are usually composed of microstrip antennas, waveguides or other types of antennas and are connected through a feed network. The feed network controls the direction of the beam by adjusting the signal phase of each unit. The antenna array can be linearly arranged, a planar array or a more complex three-dimensional array, depending on the application requirements. In the phased array antenna, the control signal is generated by a digital signal processing unit, and these control signals can adjust the phase of the antenna element in real time, so that the beam points to a specific direction for precise signal scanning and tracking. The phased array antenna has the advantage of not requiring physical rotation of the antenna and can quickly and flexibly change the beam direction. When searching and optimizing the scanning scheme, the adjustable parameter range of the phased array antenna will be analyzed, including the scanning angle, scanning speed, dwell time, etc., and these parameters will be dynamically adjusted according to the differential compensation requirements of the abnormal scanning characteristics. For example, when it is detected that the signal of a certain frequency band attenuates due to blockage, the scanning angle will be enlarged or the dwell time will be increased to maximize the differential compensation amount and ensure that the signal can be effectively captured. After determining the scanning area and scanning parameters, an electronic scanning path will be established according to the scanning correspondence between the scanning area of the phased array antenna and the multi-band satellite. This path planning process not only considers the signal coverage range but also combines the change trend of the signal quality. Through the above process, it is possible to optimize the scanning scheme, locate the scanning area and parameters based on the signal path characteristics of the multi-band satellite, and establish an efficient electronic scanning path, thereby improving the stability and quality of multi-band satellite TV services.

[0027] Furthermore, the present application provides an optimization of the scanning scheme for each frequency band satellite, a positioning of the scanning area and scanning parameters of the phased array antenna, and an establishment of an electronic scanning path for the scanning area based on the signal path characteristics of the multi-band satellite, including:

[0028] Identify abnormal scanning features based on the signal path characteristics of the multi-band satellite; search for a scanning scheme based on the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite with the goal of maximizing the differential compensation amount of the abnormal scanning features, and obtain the scanning area and scanning parameters of the phased array antenna; establish an electronic scanning path for the scanning area according to the scanning correspondence between the scanning area of the phased array antenna and the multi-band satellite.

[0029] Optionally, after obtaining the signal path characteristics of the multi-band satellite, these signal path characteristics will be monitored and analyzed in real time through signal processing algorithms to identify possible abnormal changes in the signal path. The identification process of abnormal scan characteristics mainly relies on signal processing technologies. For example, on the path of satellite signal propagation, some ground objects (such as buildings, mountains, etc.) may cause signal reflection. The reflected signal will be superimposed on the original signal, resulting in distortion of the received signal. By comparing the time delay and amplitude of the signal through time-domain reflection analysis method, it is judged whether there is a reflection phenomenon. When abnormal fluctuations in the time delay or intensity of the received signal are detected, it will be identified as an abnormal characteristic of signal reflection; when the signal passes through the atmosphere, it may be refracted due to factors such as temperature and humidity, changing the propagation path, resulting in changes in the angle and intensity of the signal. The frequency-domain analysis method can be used to judge the refraction effect by using the differences between multi-band signals. Because the refraction degree of signals in different frequency bands is different, by comparing the propagation characteristics of signals in different frequency bands, it is identified whether there is a refraction phenomenon, thereby determining the abnormal characteristics; multipath effect refers to the fact that during signal propagation, due to reflection or scattering by the ground or other objects, multiple propagation paths are generated, and finally the receiving end receives multiple signals. These signals may cause changes in phase and amplitude due to different paths, resulting in signal distortion. By performing time-domain or frequency-domain analysis on the received multi-band signals through a multipath interference suppression algorithm, it is detected whether there is a multipath effect. Multipath effect will cause signal attenuation, delay spread and signal interference. Therefore, by analyzing the phase change and time delay of the signal, it can be judged whether there is multipath interference, thereby determining the abnormal characteristics. By summarizing all the obtained abnormal characteristics, abnormal scan characteristics are generated. Subsequently, with the goal of maximizing the difference compensation amount of the abnormal scan characteristics, this means that the impact caused by abnormal changes (such as signal loss or attenuation) will be minimized as much as possible, thereby ensuring the stability of the signal. To this end, the positioning information of the phased array antenna (such as the current azimuth angle and elevation angle of the antenna) will be combined with the signal path characteristics of the satellite to calculate the optimal scan scheme. This scan scheme includes the selection of the scan area and the determination of scan parameters. Specifically, according to the propagation characteristics of satellite signals and the abnormal detection results, parameters such as the angle, speed and width of antenna scanning will be adjusted to ensure that the changes in the environment can be responded to in real time and stable signal reception can be maintained. Finally, based on the correspondence between the scan area of the phased array antenna and the satellite signal path, the scan parameters, scan area and satellite signal path are corresponded to establish an electronic scan path. The electronic scan path is achieved by precisely controlling the phase difference of each unit of the phased array antenna, which can ensure the precise adjustment of the beam direction and avoid the time and space losses caused by physically rotating the antenna. Through this process, the scan area can be flexibly adjusted in a dynamic environment to achieve efficient signal tracking and optimization, improving the stability and reliability of satellite communication.In summary, this process ensures that the phased array antenna can provide accurate beam pointing and stable signal transmission in a complex communication environment by real-time identifying abnormal features in the signal path and adopting an optimization strategy of maximizing compensation.

[0030] Furthermore, the present application provides a search for a scanning scheme with the goal of maximizing the differential compensation amount of the abnormal scanning features, including scanning according to the positioning information of the phased array antenna and the signal path features of the multi-band satellite:

[0031] Obtain the adjustable parameter range of the phased array antenna, where the adjustable parameters include scanning angle, scanning speed, and dwell time; perform differential compensation according to the abnormal scanning features to obtain the differential compensation amount, and according to the original scanning path, perform compensation analysis through the adjustable parameter range with the differential compensation amount as the target to obtain the compensation parameters and compensation amount; determine whether the compensation parameters and compensation amount meet the requirements of the compensation parameters and compensation amount in the differential compensation amount. When not satisfied, perform compensation matching according to the differential compensation amount and the signal path features of the multi-band satellite, and search for the maximum target of the abnormal compensation amount through the adjustable parameter range until a scanning scheme that meets the requirements is obtained.

[0032] Optionally, when performing a scan scheme search, it is necessary to first obtain the adjustable parameter range of the phased array antenna. This adjustable parameter range includes scan angles (such as azimuth angle range 0° - 360°, elevation angle range 0° - 90°), scan speed (such as scan angle range per second 1° - 10°), dwell time (such as dwell time range for each scan area 10ms - 100ms), etc. Subsequently, according to the identified abnormal scan features, calculate the parameters and compensation amounts that need to be compensated. For example, when the signal strength drops by 20dB, the differential compensation amount is 20dB. After identifying the abnormality and calculating the compensation amount, it will be applied to the original scan path. During this process, the values of the adjustable parameters will be determined according to the compensation amount. When there is a multipath effect in the signal path, through signal processing algorithms (such as direction of arrival estimation, DOA), identify the azimuth angle of the source of the multipath signal, calculate the difference between the source azimuth angle and the original scan angle to obtain the size of the scan angle that needs to be adjusted. In addition, measure the delay time of the multipath signal, and subtract the delay time of the direct signal from the delay time of the multipath signal to obtain the size of the dwell time that needs to be adjusted; when the signal is attenuated due to occlusion, identify the azimuth angle of the occluder through a geographic information system (GIS) and GPS positioning, subtract the azimuth angle of the occluder from the original scan angle to obtain the size of the scan angle that needs to be adjusted. In addition, measure the attenuation degree of the signal strength, and multiply the attenuation value of the signal strength by the compensation coefficient (such as 1ms / dB) to obtain the size of the dwell time that needs to be adjusted. After that. Correct the abnormal influence by adjusting the adjustable parameters (such as scan angle, scan speed, dwell time, etc.), and then through actual simulation, determine the specific compensation parameters and compensation amounts. For example, adjusting the scan angle to 30° can compensate for 10dB signal loss, and increasing the dwell time to 500ms can compensate for 5dB signal loss. Then, evaluate whether the adjusted compensation parameters and compensation amounts meet the requirements of the differential compensation amount. When the compensation parameters and compensation amounts do not meet the requirements of the compensation parameters and compensation amounts in the differential compensation amount, further perform compensation matching according to the differential compensation amount and the satellite signal path characteristics, and search for the maximum compensation amount target by adjusting the adjustable parameter range. In this way, the scan path and compensation parameters can be optimized to ensure that the signal quality reaches the best state. Generally speaking, this process involves compensating for the identified abnormal scan features through simulation and analysis, dynamically adjusting the scan parameters of the phased array antenna to ensure that the reception of satellite signals is not affected by the environment, and achieving the best signal transmission effect.

[0033] Exemplarily, during the driving of a recreational vehicle, the signal strength data is collected in real time through the satellite status monitoring module. It is found that the signal strength of the Ku band drops suddenly by 15 dB due to mountain blockage, while the signal of the C band remains stable. Combining the GPS positioning and the preset orbit data, it is predicted that the AsiaSat 9 (Ku band) will completely lose the signal due to mountain blockage within the next 10 seconds. Therefore, an emergency switching strategy is initiated. The Ka band resources are allocated to scan Zhongxing 6B, and at the same time, the C band is maintained as a backup to ensure the continuity of signal switching. For example, the Ka band is used for main signal reception, and the C band is used for backup signal reception to cope with the sudden signal loss. Since the recreational vehicle jolts greatly when driving in the mountainous area, the beam width is switched from 2° (fine scan) to 5° (wide scan) to compensate for the pointing error caused by vehicle jolting. The wide scan mode can cover a larger area and reduce the signal loss caused by vehicle jolting. At the same time, the FPGA is used to calculate the weight vector of the beamforming network to generate two independent beams: Beam 1 points to Zhongxing 6B, with an azimuth angle of 120° and an elevation angle of 45°; Beam 2 continuously scans the residual area of the AsiaSat 9 signal, with an azimuth angle of 95° - 105° and an elevation angle of 40° - 50°. By dynamically adjusting the beam pointing, the stable reception of the Zhongxing 6B signal is ensured. For example, when the position of the recreational vehicle changes, the azimuth angle and elevation angle of Beam 1 are adjusted in real time to ensure that the signal is always aligned with Zhongxing 6B. While optimizing the beam pointing, compensation is also made for the abnormal characteristics in the signal path. For example, when it is detected that the signal quality deteriorates due to multipath effects, the scanning angle is adjusted from 120° to 125°, and the dwell time is increased from 50 ms to 70 ms to reduce the influence of multipath effects; when it is detected that the Ku band signal attenuates due to mountain blockage, the scanning angle is adjusted from 95° to 100°, and the dwell time is increased from 60 ms to 80 ms to compensate for the signal loss. By dynamically adjusting the scanning parameters, the signal interference and attenuation problems in complex environments can be effectively addressed. In addition, according to the real-time signal quality information, the beam pointing and scanning parameters are dynamically adjusted. For example, when it is detected that the signal quality of Zhongxing 6B deteriorates, the pointing of Beam 1 is quickly adjusted to ensure signal stability. At the same time, through multi-band collaborative optimization, efficient signal reception can still be achieved in complex environments. For example, when the Ka band signal is affected by rain fade, it is automatically switched to the C band, and the transmit power is increased by 3 dB to maintain the signal quality.

[0034] Furthermore, the present application provides compensation matching according to the difference compensation amount and the signal path characteristics of multi-band satellites, and searches for the maximum abnormal compensation amount target through the adjustable parameter range, including:

[0035] Perform scanning signal target analysis based on the difference compensation amount to obtain the signal target characteristics of the switching path; use the signal target characteristics of the switching path to match with the signal path characteristics of the multi-band satellite to obtain the matching results of each satellite; with the goal of maximizing the abnormal compensation amount, search the matching results of each satellite. When there is a satellite link that meets the requirements, determine the switching scanning path as the scanning scheme; when there is no satellite link that meets the requirements, perform link aggregation using multiple satellites, search according to the aggregated matching results of the link aggregation, and determine the scanning path corresponding to the link aggregation as the scanning scheme.

[0036] Optionally, since the adjustment of the current scanning path cannot meet the requirements of the difference compensation amount, based on the calculated difference compensation amount, scanning signal target analysis will be performed. In this process, each compensation parameter and the corresponding compensation value will be parsed from the difference compensation amount, and then all switchable satellites will be traversed to obtain the signal characteristics of each switchable satellite. By calculating the difference between the signal characteristics of each switchable satellite and the characteristics of the original scanning path, it is judged whether it meets the requirements of the difference compensation amount. If it meets, the signal characteristics of this switchable satellite will be added to the signal target characteristics of the switching path. After parsing the signal target of the switching path, these characteristics will be matched with the signal path characteristics of the multi-band satellite. The signal path characteristics will be normalized by the maximum-minimum method to make them in the same dimension, and then through the matching degree calculation formula Obtain the matching degree of each satellite with each signal path characteristic of the multi-band satellite, where is the matching degree of the i-th signal path characteristic; is the normalized value of the i-th signal path characteristic of a certain switchable satellite in the signal target characteristics of the switching path; is the normalized value of the i-th signal path feature of the multi-band satellite. After obtaining the matching degree of each signal path feature, these matching degrees will be weighted and calculated according to the weights set by domain experts for each signal path feature to obtain the matching degree between each satellite and the multi-band satellite. After obtaining the matching results of each satellite, the matching results of each satellite will be searched, and the matching degree of each satellite will be compared with the lower limit of the matching degree to obtain all switchable satellites that are greater than or equal to the lower limit requirement of the matching degree. The higher the matching degree, the more suitable the satellite path is for the current signal demand. Subsequently, with the goal of maximizing the anomaly compensation amount, the best satellite is searched from the selected satellites, and the satellite link of this satellite is obtained. This satellite link will be used as the switching scan path to generate a scan scheme, which will adjust the beam based on the optimized scan area, compensation parameters, etc., so as to ensure that the signal reception is not interfered. If a single satellite that meets the requirements of the link cannot be found during the search process, the multi-satellite link aggregation strategy will be used instead. In this case, the signal resources of multiple satellites will be merged through link aggregation, with the goal of maximizing the anomaly compensation amount and the minimum link aggregation amount as the constraint condition. According to the matching situation of different satellite signals, a link aggregation scan path that meets the requirements is determined. Based on the matching results of the link aggregation, the best scan path is finally determined. This path may involve the signal superposition of multiple satellites to ensure the high efficiency and stability of communication in complex environments (such as signal occlusion, interference, etc.). In summary, the entire process searches for the goal of maximizing the anomaly compensation amount, combines the switching path signal target and the matching of the satellite signal path features, and finally determines the appropriate scan path. When a single satellite cannot be relied on alone, through link aggregation technology, the signals of multiple satellites are used for fusion, thereby optimizing the scan path and the signal reception quality.

[0037] Further, the present application provides the use of multiple satellites for link aggregation, searches according to the aggregation matching results of the link aggregation, and determines the scan path corresponding to the link aggregation as the scan scheme, including:

[0038] Configure the scan weights of multiple bands according to the target TV demand; configure the compensation matching tolerance for multiple bands in the anomaly compensation amount according to the scan weights of the multiple bands; establish a target evaluation function with the goal of maximizing the anomaly compensation amount according to the compensation matching tolerance; according to the matching results of each satellite, with the minimum link aggregation amount as the constraint condition, conduct a multi-link aggregation evaluation according to the target evaluation function, and screen the link aggregation scan path with the largest target evaluation result as the scan scheme.

[0039] Optionally, obtain the target TV requirements. The target TV requirements refer to the specific communication requirements expected by the target TV device for signal reception, such as signal strength, bandwidth, latency, etc. Based on these requirements, configure the scanning weights for multiple frequency bands, that is, the priorities of different frequency bands (such as C band, Ku band, etc.). These weights reflect the applicability and importance of different frequency bands in a specific environment. For example, if the target TV requires a higher bandwidth, it will preferentially use the Ku band. Correspondingly, a higher scanning weight will be assigned to the Ku band, and a lower scanning weight will be assigned to other frequency bands (such as the C band). After configuring the scanning weights for each frequency band, adjust the compensation matching tolerance of the anomaly compensation amount based on these weights. The compensation matching tolerance refers to the maximum deviation or error allowed for the signal characteristics of a certain frequency band when adjusting the scanning parameters. For example, if the weight of a certain frequency band is higher, it means that the influence of this frequency band on the signal quality is greater, and a smaller compensation matching tolerance (such as ±5dB) is allowed for this frequency band to ensure the stability of the signal quality. On the contrary, the frequency band with a low weight may have a larger tolerance and allow a higher error range (such as ±10dB). The purpose of this step is to ensure that the compensation amounts for different frequency bands can adapt to the requirements of the target TV by dynamically adjusting the tolerance of the frequency bands. Subsequently, based on the compensation matching tolerance, construct a target evaluation function with the maximization of the anomaly compensation amount as the goal. This target evaluation function is used to evaluate the compensation effects of each satellite link, as follows: where F is the target evaluation function value of each scheme; n is the total number of frequency bands participating in link aggregation; is the scanning weight of the i-th frequency band; is the anomaly compensation amount of the i-th frequency band; is the compensation matching tolerance of the i-th frequency band. After that, perform random combinations of the links based on the anomaly compensation amount to obtain multiple link aggregation scanning paths. Each link aggregation scanning path can meet the requirements of the anomaly compensation amount. For example, link aggregation scanning path 1 can be satellite A (C band) and satellite B (Ku band). Then, with the minimum link aggregation amount as the constraint condition, divide the link aggregation scanning paths according to the size of the link aggregation amount, store the link aggregation scanning paths with the same link aggregation amount in a set, and then evaluate the link aggregation scanning paths in each set using the target evaluation function in ascending order of the link aggregation amount. Extract the link aggregation scanning path with the minimum link aggregation amount and the maximum target evaluation result in this set as the scanning scheme. The path with the maximum target evaluation result means that this path can meet the compensation requirements, optimize the scanning angle, minimize interference, and communicate with the least amount of resources. Through this optimization, the best link aggregation path can be found and the final scanning scheme can be generated for the phased array antenna to ensure signal stability, bandwidth efficiency, and communication continuity.

[0040] Furthermore, the present application further includes:

[0041] Locate the scanning area of the phased array antenna according to the scanning scheme, and identify the central sub-array, the edge sub-array, and the idle sub-array; analyze the RF switch control strategy of the central sub-array, the edge sub-array, and the idle sub-array according to the target TV requirements; perform zonal control on the phased array antenna according to the RF switch control strategy.

[0042] In one embodiment, determine the scanning area of the phased array antenna according to the scanning scheme. The scanning area is the adjustable coverage range of the antenna in space. For example, the main scanning area (azimuth angle 120° - 130°, elevation angle 40° - 50°), the auxiliary scanning area (azimuth angle 95° - 105°, elevation angle 35° - 45°). After determining the scanning area, further divide each area of the phased array antenna, including the central sub-array, the edge sub-array, and the idle sub-array. Among them, the central sub-array is located in the central area of the antenna and is responsible for signal reception in the main scanning area; the edge sub-array: located in the edge area of the antenna and is responsible for signal reception in the auxiliary scanning area; the idle sub-array refers to the sub-array that does not currently participate in signal reception or transmission, and these units are usually in the off state to save energy and reduce unnecessary interference. Subsequently, according to the requirements of the target TV (such as signal quality, bandwidth requirements, anti-interference requirements, etc.), decide how to control each sub-array of the phased array antenna. Since the central sub-array is located at the core of the array and is responsible for the most important signal reception task, according to the requirements of the target TV, the RF switch of the central sub-array usually remains on to ensure stable signal reception; the edge sub-array dynamically adjusts the RF switch state according to the scanning requirements. For example, the edge sub-array is turned off in the energy-saving mode and the interfered unit is turned off in the anti-interference mode; for the idle sub-array, it is decided whether to turn it on according to the current requirements. Usually, these sub-arrays are turned off to avoid wasting energy, but in some special cases (such as when it is necessary to expand the signal coverage), they may be enabled. By summarizing these control methods, the RF switch control strategy is obtained, and then this RF switch control strategy is output to the control system of the phased array antenna for zonal control to achieve efficient signal reception and power consumption management. Through the above process, it is possible to locate the scanning area according to the scanning scheme, identify the type of sub-array, and analyze the RF switch control strategy, so as to realize the zonal control of the phased array antenna and improve the stability and energy efficiency of multi-band satellite TV services.

[0043] Track the signal quality information of the task scheduling, and adaptively adjust the execution ratio of the scanning and tracking tasks of the phased array antenna according to the signal quality information.

[0044] In one embodiment, according to the signal quality information scheduled by the tracking task, the execution ratio of the scanning and tracking tasks of the phased array antenna is dynamically adjusted to ensure the best signal reception effect. In this process, an adjustment response relationship between the execution ratio of the scanning task and the tracking task and the signal quality information is first established. This relationship indicates how the change in signal quality affects the execution priorities and time allocations of the scanning task and the tracking task. For example, when the signal quality is poor, more computing resources and time are allocated to the tracking task to ensure that the antenna can accurately align with the target satellite; while when the signal quality is good, more time may be preferentially allocated to the scanning task to expand the signal reception range. Once this response relationship is established, ratio response analysis is performed based on the real-time monitored signal quality information, which means that the current signal quality, such as factors like signal strength, signal stability, and latency, is evaluated in real time, and then the execution ratio of the scanning and tracking tasks is dynamically adjusted. When the signal quality deteriorates, the tracking task will obtain a higher execution ratio to ensure signal stability; while when the signal quality is good, more scanning tasks can be executed to expand the reception area. Through this adaptive adjustment, the working state of the phased array antenna can always be optimized, achieving the maximum response to signal quality, avoiding unnecessary resource waste, and ensuring communication stability and efficiency in different working environments.

[0045] Furthermore, the present application provides an adaptive adjustment of the execution ratio of the scanning and tracking tasks of the phased array antenna according to the signal quality information, including:

[0046] Establish an adjustment response relationship between the execution ratio of the scanning and tracking tasks and the signal quality information; perform ratio response analysis on the signal quality information using the adjustment response relationship to obtain the execution ratio of the scanning and tracking tasks.

[0047] Preferably, during the operation of the phased array antenna, the signal quality information is monitored in real time, including key indicators such as signal strength (SNR), transmission delay, Doppler frequency shift, etc. These information reflect the quality and stability of the current communication link. To adapt to the changing requirements in different operating modes, an adjustment response relationship is established between the execution ratio of the scanning and tracking tasks and the signal quality information. This relationship is based on the real-time status and performance indicators of satellite communication, and an adaptive control algorithm is used to dynamically adjust the operating mode of the phased array antenna. For example, when it is detected that the communication link quality deteriorates (such as a 10 dB decrease in signal strength or a significant increase in transmission delay), the ratio of the tracking task will be preferentially increased to ensure the stability and reliability of the signal. Specifically, the execution ratio of the tracking task will be dynamically adjusted according to the degree of signal quality degradation. If the signal strength drops by 10 dB, the ratio of the tracking task will be increased from 70% to 85%, and at the same time, the ratio of the scanning task will be decreased from 30% to 15%. This adjustment can concentrate resources to maintain high-quality signal reception and avoid connection interruptions caused by signal fluctuations. On the contrary, when the communication link quality is good (such as high signal strength and good stability), the ratio of the scanning task is appropriately increased to discover new communication opportunities or optimize the link configuration. For example, if the signal strength remains at a high level and the delay is low, the ratio of the scanning task will be increased from 20% to 40%, and at the same time, the ratio of the tracking task will be decreased from 80% to 60%. This adjustment can expand the signal search range and provide more options for potential link switching or aggregation, thereby further improving the system performance. Through this adjustment response relationship, the signal quality information can be parsed proportionally, and the optimal execution ratio of the scanning and tracking tasks can be dynamically calculated. For example, when the signal quality is at a medium level, the ratios of the scanning task and the tracking task will be set to 30% and 70% respectively to achieve a balance between signal stability and resource utilization. This adaptive adjustment mechanism can not only reduce power consumption and delay, but also significantly improve the connection quality and ensure the stable operation of multi-band satellite TV services in different environments. Through the above process, the execution ratio of the scanning and tracking tasks can be dynamically adjusted according to the real-time signal quality information, thereby realizing the optimization of the operating mode of the phased array antenna and improving the stability and performance of multi-band satellite TV services.

[0048] Control the electronic beam to perform a scanning according to the scanning area, scanning parameters, electronic scanning path, and execution ratio of the scanning and tracking tasks of the phased array antenna.

[0049] In one embodiment, during the operation of the phased array antenna, the electronic beam is precisely controlled and scanned according to the optimized scanning area, scanning parameters, electronic scanning path, and the execution ratio of scanning and tracking tasks. This process mainly relies on phase control and beamforming techniques. By adjusting the phase and amplitude of each radiating element in the antenna array, rapid and accurate pointing and shape control of the electronic beam can be achieved. First, according to the requirements of the scanning area, the pointing direction of the electronic beam is determined. For example, if the scanning area is azimuth 120° and elevation 45°, the phase control technique is used to calculate the required phase offset for each radiating element, so that the radiation signals of all elements are in-phase superposed in the target direction, forming a highly directive beam. The core principle of phase control is to change the phase delay of each element to adjust the signal propagation path, thereby controlling the beam pointing. For example, for a linear array antenna, the phase offset can be calculated by the formula where, is the phase offset; d is the element spacing; is the beam pointing angle; is the signal wavelength. Secondly, the beamforming technique is used to optimize the shape and width of the electronic beam. For example, in the wide-scan mode, the amplitude weights of the radiating elements are adjusted so that the beam width expands from 2° to 5° to cover a larger area. The principle of beamforming is to control the main lobe width and sidelobe level of the beam by weighting the amplitude of each radiating element, so as to adapt to different scanning requirements. For example, by using the Taylor weighting or Chebyshev weighting algorithm, the sidelobe interference can be effectively suppressed while ensuring the main lobe width. In addition, according to the execution ratio of scanning and tracking tasks, the scanning speed and dwell time of the electronic beam are dynamically adjusted. For example, when the tracking task accounts for 85%, the scanning speed is reduced and the dwell time of the beam in the target direction is increased to ensure stable signal reception; while when the scanning task accounts for 15%, the scanning speed is increased to quickly cover a larger area to discover new signal sources. Finally, through a real-time feedback mechanism, the control parameters of the electronic beam are dynamically adjusted. For example, when the signal quality is detected to decline, the phase offset and amplitude weights are recalculated, and the beam pointing and shape are adjusted to cope with the changes in the signal path. This dynamic regulation method can significantly improve the stability and connection quality of multi-band satellite TV services. Through the above phase control and beamforming techniques, precise control and scanning of the electronic beam can be achieved, ensuring efficient capture and tracking of target signals in complex environments, thereby improving the performance of multi-band satellite TV services.

[0050] In the above text, reference is made to Figure 1 for a detailed description of the multi-band satellite TV adjustment method based on phased array technology according to the embodiments of the present invention. Next, reference will be made to Figure 2Describe a multi - band satellite TV adjustment antenna based on phased array technology according to an embodiment of the present invention.

[0051] The multi - band satellite TV adjustment antenna based on phased array technology according to an embodiment of the present invention is used to solve the technical problems of unstable connection quality, high power consumption, and large delay caused by signal path changes, interference, and frequent connection switching during the reception of multi - band satellite TV signals. It achieves the technical effect of dynamically optimizing the scanning parameters and paths of the phased array antenna, adaptively adjusting the proportion of scanning and tracking tasks, realizing efficient connection switching and link aggregation, reducing power consumption and delay, and improving connection quality. The multi - band satellite TV adjustment antenna based on phased array technology includes: a signal path feature prediction component 11, an electronic scanning path establishment component 12, a task adjustment component 13, and a control scanning component 14.

[0052] The signal path feature prediction component 11: monitors the status information of the satellite in real - time, combines the preset in - orbit information of the satellite, and predicts the signal path features of the multi - band satellite; The electronic scanning path establishment component 12: based on the signal path features of the multi - band satellite, optimizes the scanning schemes of each - band satellite, locates the scanning area and scanning parameters of the phased array antenna, and establishes the electronic scanning path of the scanning area; The task adjustment component 13: tracks the signal quality information of the task scheduling, and adaptively adjusts the execution ratio of the scanning and tracking tasks of the phased array antenna according to the signal quality information; The control scanning component 14: controls the scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the execution ratio of the scanning and tracking tasks.

[0053] Further, the signal path feature prediction component 11 further includes:

[0054] Collect the status information of the satellite in real - time, including satellite position, signal strength, frequency - band occupancy rate, Doppler shift data; obtain the preset in - orbit information of the satellite according to the preset satellite orbit database; predict the change amount of the status information of the satellite according to the positional relationship of the target TV in combination with the preset in - orbit information of the satellite, and obtain the signal path features.

[0055] Further, the signal path feature prediction component 11 further includes:

[0056] According to the preset in - orbit information of the satellite, determine the satellite orbit parameters and position information, predict the position and status information of the satellite at a future time, and obtain satellite prediction information; according to the positional relationship between the satellite prediction information and the target TV, identify the signal scanning path; according to the transmission characteristics of the signal scanning path, predict the transmission change amount of the status information of the satellite, and obtain the signal path features.

[0057] Further, the electronic scanning path establishment component 12 further includes:

[0058] Identify abnormal scanning features according to the signal path characteristics of the multi-band satellite; aiming at the maximum difference compensation amount of the abnormal scanning features, search for a scanning scheme according to the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite, and obtain the scanning area and scanning parameters of the phased array antenna; establish an electronic scanning path for the scanning area according to the scanning correspondence between the scanning area of the phased array antenna and the multi-band satellite.

[0059] Furthermore, the electronic scanning path establishing component 12 further includes:

[0060] Obtain the adjustable parameter range of the phased array antenna, where the adjustable parameters include scanning angle, scanning speed, and dwell time; perform difference compensation according to the abnormal scanning features to obtain a difference compensation amount, and perform compensation analysis through the adjustable parameter range with the difference compensation amount as the target according to the original scanning path to obtain compensation parameters and a compensation amount; determine whether the compensation parameters and the compensation amount meet the requirements of the compensation parameters and the compensation amount in the difference compensation amount. When not satisfied, perform compensation matching according to the difference compensation amount and the signal path characteristics of the multi-band satellite, and search for the maximum target of the abnormal compensation amount through the adjustable parameter range until a scanning scheme that meets the requirements is obtained.

[0061] Furthermore, the electronic scanning path establishing component 12 further includes:

[0062] Analyze the scanning signal target according to the difference compensation amount to obtain the target characteristics of the switching path signal; match the target characteristics of the switching path signal with the signal path characteristics of the multi-band satellite to obtain the matching results of each satellite; search for the matching results of each satellite with the maximum target of the abnormal compensation amount. When there is a satellite link that meets the requirements, determine the switching scanning path as the scanning scheme; when there is no satellite link that meets the requirements, perform link aggregation using multiple satellites, and search according to the aggregation matching results of the link aggregation to determine the scanning path corresponding to the link aggregation as the scanning scheme.

[0063] Furthermore, the electronic scanning path establishing component 12 further includes:

[0064] Configure the scanning weights of multiple bands according to the target TV requirements; configure the compensation matching tolerance for multiple bands in the difference compensation amount according to the scanning weights of multiple bands; establish a target evaluation function with the maximum target of the abnormal compensation amount according to the compensation matching tolerance; with the minimum link aggregation amount as the constraint condition according to the matching results of each satellite, perform multi-link aggregation evaluation according to the target evaluation function, and screen the link aggregation scanning path with the largest target evaluation result as the scanning scheme.

[0065] Furthermore, the electronic scan path establishment component 12 further includes:

[0066] Locate the scan area of the phased array antenna according to the scan scheme, identify the central sub-array, edge sub-array, and idle sub-array; analyze the RF switch control strategies of the central sub-array, edge sub-array, and idle sub-array according to the target TV requirements; perform zoning control on the phased array antenna according to the RF switch control strategies.

[0067] Furthermore, the task adjustment component 13 further includes:

[0068] Establish an adjustment response relationship between the execution ratio of the scan and tracking tasks and the signal quality information; use the adjustment response relationship to perform ratio response analysis on the signal quality information to obtain the execution ratio of the scan and tracking tasks.

[0069] The multi-band satellite TV adjustment antenna based on phased array technology provided by the embodiments of the present invention can execute the multi-band satellite TV adjustment method based on phased array technology provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0070] Although the present application makes various references to certain components in the antenna according to the embodiments of the present application, however, any number of different components can be used and run on the user terminal and / or server. The various components included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0071] The above specific embodiments do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A multi-band satellite TV adjustment method based on phased array technology, characterized in that: include: Monitor satellite status information in real time, combine preset satellite on-orbit information, and predict signal path characteristics of multi-band satellites; Based on the signal path characteristics of the multi-band satellite, the scanning scheme of each frequency band satellite is optimized, the scanning area and scanning parameters of the phased array antenna are located, and the electronic scanning path of the scanning area is established; tracking signal quality information of task scheduling, and adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; Control and scan the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the scanning and tracking task execution ratio; Based on the signal path characteristics of the multi-band satellite, the scanning scheme of each frequency band satellite is optimized, the scanning area and scanning parameters of the phased array antenna are located, and the electronic scanning path of the scanning area is established, including: identifying abnormal scanning features based on signal path features of the multi-band satellite; With the goal of maximizing the difference compensation amount of the abnormal scanning feature, a scanning scheme search is performed according to the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite to obtain a scanning area and scanning parameters of the phased array antenna; Establishing an electronic scanning path of the scanning area according to a corresponding relationship between the scanning area of ​​the phased array antenna and the scanning of the multi-band satellite; The method aims to maximize the difference compensation amount of the abnormal scanning feature, and searches for a scanning scheme according to the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite, including: Obtaining the adjustable parameter range of the phased array antenna, the adjustable parameters include scanning angle, scanning speed, and dwell time; Perform difference compensation according to the abnormal scanning feature to obtain a difference compensation amount, and perform compensation analysis through the adjustable parameter range according to the original scanning path with the difference compensation amount as the target to obtain compensation parameters and compensation amount; Determine whether the compensation parameters and compensation amounts meet the compensation parameter and compensation amount requirements in the difference compensation amount. If not, perform compensation matching based on the difference compensation amount and the signal path characteristics of the multi-band satellite, and perform target search for maximizing the abnormal compensation amount through the adjustable parameter range until a scanning plan that meets the requirements is obtained.

2. The multi-band satellite TV adjustment method based on phased array technology according to claim 1, characterized in that: Real-time monitoring of satellite status information, combined with preset satellite in-orbit information, predicts the signal path characteristics of multi-band satellites, including: Real-time collection of satellite status information, including satellite position, signal strength, frequency band occupancy, and Doppler shift data; According to the preset satellite orbit database, obtain the preset satellite in-orbit information; The signal path characteristics are obtained by predicting the change amount of the satellite status information according to the position relationship of the target TV and combining the preset satellite on-orbit information.

3. The multi-band satellite TV adjustment method based on phased array technology according to claim 2, characterized in that: Predicting the change amount of the satellite status information according to the position relationship of the target TV and the preset satellite on-orbit information to obtain the signal path characteristics includes: Determine satellite orbit parameters and position information based on the preset satellite on-orbit information, predict the position and state information of the satellite at a future time, and obtain satellite prediction information; identifying a signal scanning path according to a positional relationship between the satellite prediction information and the target television; According to the transmission characteristics of the signal scanning path, the transmission change amount of the state information of the satellite is predicted to obtain the signal path characteristics.

4. The multi-band satellite TV adjustment method based on phased array technology according to claim 1, characterized in that: Compensation matching is performed according to the difference compensation amount and the signal path characteristics of the multi-band satellite, and a target search for maximizing the abnormal compensation amount is performed through the adjustable parameter range, including: Performing scanning signal target analysis according to the difference compensation amount to obtain switching path signal target characteristics; Matching the switching path signal target characteristics with the signal path characteristics of the multi-band satellite to obtain a matching result for each satellite; Searching the matching results of the satellites with the goal of maximizing the abnormal compensation amount, and when there is a satellite link that meets the requirements, determining to switch the scanning path as a scanning solution; When there is no satellite link that meets the requirements, multiple satellites are used to perform link aggregation, and a search is performed according to the aggregation matching result of the link aggregation to determine a scanning path corresponding to the link aggregation as the scanning solution.

5. The multi-band satellite TV adjustment method based on phased array technology according to claim 4, characterized in that: Using multiple satellites to perform link aggregation, searching according to the aggregation matching result of the link aggregation, and determining a scanning path corresponding to the link aggregation as the scanning scheme, including: Configure scanning weights of multiple frequency bands according to target TV requirements; configuring compensation matching tolerance for multiple frequency bands in the abnormal compensation amount according to the scanning weights of the multiple frequency bands; According to the compensation matching tolerance, a target evaluation function is established by maximizing the abnormal compensation amount; According to the matching results of each satellite, the minimum link aggregation amount is taken as a constraint condition, and multi-link aggregation evaluation is performed according to the target evaluation function, and the link aggregation scanning path with the largest target evaluation result is selected as the scanning solution.

6. The multi-band satellite TV adjustment method based on phased array technology according to claim 5, characterized in that: Also includes: Locate the scanning area of ​​the phased array antenna according to the scanning scheme, and identify the central subarray, the edge subarray, and the idle subarray; Analyze the radio frequency switch control strategies of the central subarray, the edge subarray, and the idle subarray according to the target TV demand; The phased array antenna is controlled by partitions according to the radio frequency switch control strategy.

7. The multi-band satellite TV adjustment method based on phased array technology according to claim 1, characterized in that: Adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information includes: Establish the adjustment response relationship between the scanning and tracking task execution ratio and signal quality information; The signal quality information is analyzed by proportional response using the adjustment response relationship to obtain the scanning and tracking task execution ratio.

8. A multi-band satellite TV adjustment antenna based on phased array technology, characterized in that: The antenna is used to implement the multi-band satellite TV adjustment method based on phased array technology as described in any one of claims 1 to 7, comprising: Signal path feature prediction component: monitors satellite status information in real time, combines preset satellite on-orbit information, and predicts signal path features of multi-band satellites; An electronic scanning path establishment component: based on the signal path characteristics of the multi-band satellite, optimizes the scanning scheme of each frequency band satellite, locates the scanning area and scanning parameters of the phased array antenna, and establishes the electronic scanning path of the scanning area; Task adjustment component: tracking the signal quality information of task scheduling, and adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; Control scanning component: Control scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the scanning and tracking task execution ratio.

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